Deep Learning Researcher 1900S-2
Billerica, Massachusetts, United States
USD 130K-160K Mid-level Full Time
Tasks
- Build pipelines for experimental data processing training and evaluation
- Collaborate with scientists to integrate domain knowledge and interpret results
- Create tools for transparent and usable models and predictions
- Develop and evaluate deep learning models for physical and chemical systems
- Formulate and test hypotheses about model behavior and representation
- Lead inverse design and model based discovery using Bayesian optimization and diffusion models
- Promote data quality reproducibility and experimental lineage
Perks/Benefits
- 401k match
- Dental insurance
- Employee discounts
- Flexible work environment
- Health insurance
- Hybrid work environment
- Ongoing development
- Paid time off
- Sick leave
- Vision insurance
- Wellness programs
Skills/Tech-stack
Bayesian optimization | Computer Vision | Data Processing | Diffusion Models | Experimental Design | Generative Models | Inverse design | JAX | Machine Learning | Meta Learning | Model Distillation | Neural Networks | Pruning | PyTorch | Python | Quantization | Reproducibility | TensorFlow
Education
Roles
Regions
Countries
States
Cities
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